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Data Science Entry Jobs in Virginia (NOW HIRING)

asrcfh

Clinical Data Manager 2

Reston, VA · On-site

Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

IC-CAP LLC

Senior UI/UX Dev 117-014

Springfield, VA · On-site

$62.75 - $81.25/hr

Experience collaborating with data science teams and end users to develop, update and maintain web ... text entry * Connect Oracle databases and API's to read/write data. Cloud platform familiarity ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

... Entry on Duty (EOD) Suitability - 5+ years of experience in automation engineering, data ... Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant ...

asrcfh

Clinical Data Manager 2

Reston, VA · On-site

Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team ... Test clinical trial databases and data entry screens assuring compliance with protocol and ...

Nwis

Data Automation Engineer

Arlington, VA

S.Citizenship -ActiveTS/SCIclearance -Abilityto obtainDepartment of Homeland Security (DHS) Entry ... BSinComputerScience,Data Science,or related degree,or HS Diploma and7+ years of directly relevant ...

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How much do data science entry jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science entry in Virginia is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What are popular job titles related to Data Science Entry jobs in Virginia? For Data Science Entry jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Virginia look for? The top searched job categories for Data Science Entry jobs in Virginia are:
What cities in Virginia are hiring for Data Science Entry jobs? Cities in Virginia with the most Data Science Entry job openings:
Data Science Entry jobs near you

Clinical Data Manager 2

asrcfh

Reston, VA • On-site

Other

Re-posted yesterday

Job description

Agile Decision Sciences LLC is looking for a Clinical Data Manager to support the growing team.

Responsibilities: 

  • Manage the delivery of high-quality data from project start-up and planning to project execution and project closeout on several projects
  • Independently perform project specific quality control and quality assurance tasks on all projects
  • Ensure consistency, accuracy, and adherence to federal regulations, Good Clinical Practice, Good Clinical Data Management Practices, as well as SOPs and Working Instructions
  • Manage patient protocol information and review protocol and incorporate protocol-specific guidelines into the review of clinical trial data on several projects simultaneously
  • Contribute to the design of the databases and forms, ensuring they meet requirements for entry and reporting of clinical data of varying complexity
  • Test new processes and systems for the management of data in clinical trials
  • Test clinical trial databases and data entry screens assuring compliance with protocol and institutional processes and procedures
  • Process, track, and validate data accurately and on time, in accordance with data processing and entry instructions
  • Perform data abstraction and data entry on several different protocols into multiple clinical research databases
  • Develop and extract patient clinical data reports for publications and presentations
  • Possess proficiency with clinical databases and report tools
  • Identify project specific reports and assist in the development of these reports
  • Prepare, review, and submit clinical data to monitoring agencies
  • Maintain client communication regarding data management project status and review key project questions with client

Requirements:

  • A bachelor’s degree
  • 0-2 years of experience in a related or applicable field, or an equivalent combination of education and experience

Apply